The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 395 grams and a standard deviation of 22 grams. Find the weight that corresponds to each event. (Use Excel or Appendix C to calculate the z-value. Round your final answers to 2 decimal places.) Highest 30 percent a. b. Middle 70 percent to c. Highest 90 percent d. Lowest 20 percent
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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## 6-3 Homework: Chapter 7 (Sections 7.1 through 7.4)
### Question 7: The Weight of a Small Starbucks Coffee
#### Total Points: 10
The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 395 grams and a standard deviation of 22 grams. Find the weight that corresponds to each event.
*(Use Excel or Appendix C to calculate the z-value. Round your final answers to 2 decimal places.)*
| Event | Weight (grams) |
|------------------------------|----------------------|
| a. Highest 30 percent | [ ] |
| b. Middle 70 percent | [ to ] |
| c. Highest 90 percent | [ ] |
| d. Lowest 20 percent | [ ] |
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